Overview

Dataset statistics

Number of variables15
Number of observations100
Missing cells39
Missing cells (%)2.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.3 KiB
Average record size in memory126.3 B

Variable types

Numeric5
Categorical4
Text6

Dataset

Description샘플 데이터
Author지디에스컨설팅그룹
URLhttps://www.bigdata-environment.kr/user/data_market/detail.do?id=a591a000-fe29-11ea-b106-bb1b49668671

Alerts

행정구역명 is highly overall correlated with 보육시설우편번호 and 5 other fieldsHigh correlation
시도명 is highly overall correlated with 보육시설우편번호 and 5 other fieldsHigh correlation
학제명 is highly overall correlated with 보육시설우편번호 and 5 other fieldsHigh correlation
보육시설우편번호 is highly overall correlated with 총인구수 and 4 other fieldsHigh correlation
총인구수 is highly overall correlated with 보육시설우편번호 and 5 other fieldsHigh correlation
10미만인구수 is highly overall correlated with 보육시설우편번호 and 5 other fieldsHigh correlation
세대수 is highly overall correlated with 총인구수 and 4 other fieldsHigh correlation
보육시설홈페이지주소 has 39 (39.0%) missing valuesMissing
학교명 has unique valuesUnique
보육시설도로명주소 has unique valuesUnique
보육시설연락처번호 has unique valuesUnique

Reproduction

Analysis started2023-12-10 11:44:49.131927
Analysis finished2023-12-10 11:44:55.199333
Duration6.07 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

보육시설번호
Real number (ℝ)

Distinct50
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.5
Minimum1
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:44:55.319223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q113
median25.5
Q338
95-th percentile48
Maximum50
Range49
Interquartile range (IQR)25

Descriptive statistics

Standard deviation14.50357
Coefficient of variation (CV)0.56876744
Kurtosis-1.2007577
Mean25.5
Median Absolute Deviation (MAD)12.5
Skewness0
Sum2550
Variance210.35354
MonotonicityIncreasing
2023-12-10T20:44:55.521270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 2
 
2.0%
39 2
 
2.0%
29 2
 
2.0%
30 2
 
2.0%
31 2
 
2.0%
32 2
 
2.0%
33 2
 
2.0%
34 2
 
2.0%
35 2
 
2.0%
36 2
 
2.0%
Other values (40) 80
80.0%
ValueCountFrequency (%)
1 2
2.0%
2 2
2.0%
3 2
2.0%
4 2
2.0%
5 2
2.0%
6 2
2.0%
7 2
2.0%
8 2
2.0%
9 2
2.0%
10 2
2.0%
ValueCountFrequency (%)
50 2
2.0%
49 2
2.0%
48 2
2.0%
47 2
2.0%
46 2
2.0%
45 2
2.0%
44 2
2.0%
43 2
2.0%
42 2
2.0%
41 2
2.0%

학제명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
유치원
50 
어린이집
50 

Length

Max length4
Median length3.5
Mean length3.5
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row유치원
2nd row어린이집
3rd row유치원
4th row어린이집
5th row유치원

Common Values

ValueCountFrequency (%)
유치원 50
50.0%
어린이집 50
50.0%

Length

2023-12-10T20:44:56.041908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:44:56.192288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유치원 50
50.0%
어린이집 50
50.0%

시도명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
서울
50 
강원도
50 

Length

Max length3
Median length2.5
Mean length2.5
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서울
2nd row강원도
3rd row서울
4th row강원도
5th row서울

Common Values

ValueCountFrequency (%)
서울 50
50.0%
강원도 50
50.0%

Length

2023-12-10T20:44:56.365625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:44:56.500487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울 50
50.0%
강원도 50
50.0%

행정구역명
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
춘천시
50 
종로구
17 
중구
14 
용산구
13 
성동구
6 

Length

Max length3
Median length3
Mean length2.86
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row종로구
2nd row춘천시
3rd row종로구
4th row춘천시
5th row종로구

Common Values

ValueCountFrequency (%)
춘천시 50
50.0%
종로구 17
 
17.0%
중구 14
 
14.0%
용산구 13
 
13.0%
성동구 6
 
6.0%

Length

2023-12-10T20:44:56.655396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:44:56.808893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
춘천시 50
50.0%
종로구 17
 
17.0%
중구 14
 
14.0%
용산구 13
 
13.0%
성동구 6
 
6.0%

학교명
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T20:44:57.078372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length7.38
Min length4

Characters and Unicode

Total characters738
Distinct characters158
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)100.0%

Sample

1st row린덴바움유치원
2nd row이루숲어린이집
3rd row배화여자대학교 부속 배화유치원
4th row리틀빌리지어린이집
5th row봄샘유치원
ValueCountFrequency (%)
린덴바움유치원 1
 
1.0%
이루숲어린이집 1
 
1.0%
서울남정초등학교병설유치원 1
 
1.0%
산하어린이집 1
 
1.0%
복자유치원 1
 
1.0%
아이코코어린이집 1
 
1.0%
도원유치원 1
 
1.0%
은영어린이집 1
 
1.0%
대건유치원 1
 
1.0%
임마누엘어린이집 1
 
1.0%
Other values (93) 93
90.3%
2023-12-10T20:44:57.593565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 56
 
7.6%
원 52
 
7.0%
린 51
 
6.9%
집 50
 
6.8%
유 50
 
6.8%
치 50
 
6.8%
어 50
 
6.8%
서 16
 
2.2%
울 16
 
2.2%
학 15
 
2.0%
Other values (148) 332
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 732
99.2%
Lowercase Letter 3
 
0.4%
Space Separator 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 56
 
7.7%
원 52
 
7.1%
린 51
 
7.0%
집 50
 
6.8%
유 50
 
6.8%
치 50
 
6.8%
어 50
 
6.8%
서 16
 
2.2%
울 16
 
2.2%
학 15
 
2.0%
Other values (146) 326
44.5%
Lowercase Letter
ValueCountFrequency (%)
c 3
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 732
99.2%
Latin 3
 
0.4%
Common 3
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 56
 
7.7%
원 52
 
7.1%
린 51
 
7.0%
집 50
 
6.8%
유 50
 
6.8%
치 50
 
6.8%
어 50
 
6.8%
서 16
 
2.2%
울 16
 
2.2%
학 15
 
2.0%
Other values (146) 326
44.5%
Latin
ValueCountFrequency (%)
c 3
100.0%
Common
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 732
99.2%
ASCII 6
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 56
 
7.7%
원 52
 
7.1%
린 51
 
7.0%
집 50
 
6.8%
유 50
 
6.8%
치 50
 
6.8%
어 50
 
6.8%
서 16
 
2.2%
울 16
 
2.2%
학 15
 
2.0%
Other values (146) 326
44.5%
ASCII
ValueCountFrequency (%)
c 3
50.0%
3
50.0%

설립주체구분명
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
사립
85 
공립
15 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row사립
2nd row사립
3rd row사립
4th row사립
5th row사립

Common Values

ValueCountFrequency (%)
사립 85
85.0%
공립 15
 
15.0%

Length

2023-12-10T20:44:57.800556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:44:57.941683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 85
85.0%
공립 15
 
15.0%

보육시설우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct90
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28296.88
Minimum3003
Maximum200959
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:44:58.103333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3003
5-th percentile3034.85
Q14421
median14495.5
Q324376
95-th percentile200774.15
Maximum200959
Range197956
Interquartile range (IQR)19955

Descriptive statistics

Standard deviation52024.819
Coefficient of variation (CV)1.8385355
Kurtosis7.2919944
Mean28296.88
Median Absolute Deviation (MAD)9920
Skewness2.9493483
Sum2829688
Variance2.7065818 × 109
MonotonicityNot monotonic
2023-12-10T20:44:58.314843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24408 3
 
3.0%
3067 2
 
2.0%
24307 2
 
2.0%
24224 2
 
2.0%
24216 2
 
2.0%
4609 2
 
2.0%
4628 2
 
2.0%
4423 2
 
2.0%
24318 2
 
2.0%
3025 1
 
1.0%
Other values (80) 80
80.0%
ValueCountFrequency (%)
3003 1
1.0%
3015 1
1.0%
3017 1
1.0%
3025 1
1.0%
3032 1
1.0%
3035 1
1.0%
3039 1
1.0%
3056 1
1.0%
3067 2
2.0%
3083 1
1.0%
ValueCountFrequency (%)
200959 1
1.0%
200950 1
1.0%
200946 1
1.0%
200944 1
1.0%
200853 1
1.0%
200770 1
1.0%
200180 1
1.0%
200170 1
1.0%
24458 1
1.0%
24455 1
1.0%

보육시설도로명주소
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T20:44:58.615512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length39
Mean length29.63
Min length17

Characters and Unicode

Total characters2963
Distinct characters188
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)100.0%

Sample

1st row서울특별시 종로구 통일로12길 51 . 린덴바움유치원 (무악동)
2nd row강원도 춘천시 백석골길22번길 21-21 이루숲어린이집(퇴계동)
3rd row서울특별시 종로구 필운대로1길 34 (필운동)
4th row강원도 춘천시 영서로 2920 현대아파트 관리동 2층
5th row서울특별시 종로구 율곡로 264 (종로6가)
ValueCountFrequency (%)
서울특별시 50
 
8.6%
춘천시 50
 
8.6%
강원도 47
 
8.1%
종로구 17
 
2.9%
중구 14
 
2.4%
용산구 13
 
2.2%
10
 
1.7%
후평동 7
 
1.2%
성동구 6
 
1.0%
퇴계동 6
 
1.0%
Other values (282) 359
62.0%
2023-12-10T20:44:59.249505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
494
 
16.7%
동 122
 
4.1%
1 116
 
3.9%
시 101
 
3.4%
로 96
 
3.2%
) 84
 
2.8%
( 84
 
2.8%
2 78
 
2.6%
원 72
 
2.4%
서 63
 
2.1%
Other values (178) 1653
55.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1787
60.3%
Space Separator 494
 
16.7%
Decimal Number 447
 
15.1%
Close Punctuation 84
 
2.8%
Open Punctuation 84
 
2.8%
Other Punctuation 45
 
1.5%
Dash Punctuation 22
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 122
 
6.8%
시 101
 
5.7%
로 96
 
5.4%
원 72
 
4.0%
서 63
 
3.5%
천 61
 
3.4%
길 60
 
3.4%
울 56
 
3.1%
춘 55
 
3.1%
강 53
 
3.0%
Other values (162) 1048
58.6%
Decimal Number
ValueCountFrequency (%)
1 116
26.0%
2 78
17.4%
0 57
12.8%
3 41
 
9.2%
4 33
 
7.4%
6 32
 
7.2%
8 30
 
6.7%
5 21
 
4.7%
7 20
 
4.5%
9 19
 
4.3%
Other Punctuation
ValueCountFrequency (%)
. 30
66.7%
, 15
33.3%
Space Separator
ValueCountFrequency (%)
494
100.0%
Close Punctuation
ValueCountFrequency (%)
) 84
100.0%
Open Punctuation
ValueCountFrequency (%)
( 84
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1787
60.3%
Common 1176
39.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 122
 
6.8%
시 101
 
5.7%
로 96
 
5.4%
원 72
 
4.0%
서 63
 
3.5%
천 61
 
3.4%
길 60
 
3.4%
울 56
 
3.1%
춘 55
 
3.1%
강 53
 
3.0%
Other values (162) 1048
58.6%
Common
ValueCountFrequency (%)
494
42.0%
1 116
 
9.9%
) 84
 
7.1%
( 84
 
7.1%
2 78
 
6.6%
0 57
 
4.8%
3 41
 
3.5%
4 33
 
2.8%
6 32
 
2.7%
. 30
 
2.6%
Other values (6) 127
 
10.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1787
60.3%
ASCII 1176
39.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
494
42.0%
1 116
 
9.9%
) 84
 
7.1%
( 84
 
7.1%
2 78
 
6.6%
0 57
 
4.8%
3 41
 
3.5%
4 33
 
2.8%
6 32
 
2.7%
. 30
 
2.6%
Other values (6) 127
 
10.8%
Hangul
ValueCountFrequency (%)
동 122
 
6.8%
시 101
 
5.7%
로 96
 
5.4%
원 72
 
4.0%
서 63
 
3.5%
천 61
 
3.4%
길 60
 
3.4%
울 56
 
3.1%
춘 55
 
3.1%
강 53
 
3.0%
Other values (162) 1048
58.6%

보육시설연락처번호
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T20:44:59.725269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.67
Min length11

Characters and Unicode

Total characters1167
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)100.0%

Sample

1st row02-730-6207
2nd row033-243-8833
3rd row02-737-1433
4th row033-252-8513
5th row02-764-3210
ValueCountFrequency (%)
02-730-6207 1
 
1.0%
02-792-2652 1
 
1.0%
033-254-2279 1
 
1.0%
02-3273-6510 1
 
1.0%
033-242-3461 1
 
1.0%
02-319-2915 1
 
1.0%
033-254-8259 1
 
1.0%
02-713-1960 1
 
1.0%
033-243-9211 1
 
1.0%
02-790-5016 1
 
1.0%
Other values (90) 90
90.0%
2023-12-10T20:45:00.484114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 200
17.1%
2 184
15.8%
3 176
15.1%
0 152
13.0%
7 99
8.5%
4 69
 
5.9%
6 64
 
5.5%
1 60
 
5.1%
5 58
 
5.0%
8 53
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 967
82.9%
Dash Punctuation 200
 
17.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 184
19.0%
3 176
18.2%
0 152
15.7%
7 99
10.2%
4 69
 
7.1%
6 64
 
6.6%
1 60
 
6.2%
5 58
 
6.0%
8 53
 
5.5%
9 52
 
5.4%
Dash Punctuation
ValueCountFrequency (%)
- 200
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1167
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 200
17.1%
2 184
15.8%
3 176
15.1%
0 152
13.0%
7 99
8.5%
4 69
 
5.9%
6 64
 
5.5%
1 60
 
5.1%
5 58
 
5.0%
8 53
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1167
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 200
17.1%
2 184
15.8%
3 176
15.1%
0 152
13.0%
7 99
8.5%
4 69
 
5.9%
6 64
 
5.5%
1 60
 
5.1%
5 58
 
5.0%
8 53
 
4.5%

보육시설팩스번호
Text

Distinct94
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T20:45:00.913080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.02
Min length2

Characters and Unicode

Total characters1102
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique93 ?
Unique (%)93.0%

Sample

1st row02-730-6208
2nd row--
3rd row02-737-1434
4th row033-252-8514
5th row02-762-7396
ValueCountFrequency (%)
7
 
7.0%
02-6918-6695 1
 
1.0%
02-3273-6514 1
 
1.0%
033-242-3461 1
 
1.0%
02-319-3870 1
 
1.0%
033-254-8259 1
 
1.0%
02-704-0262 1
 
1.0%
033-243-9213 1
 
1.0%
02-3785-2757 1
 
1.0%
033-242-1198 1
 
1.0%
Other values (84) 84
84.0%
2023-12-10T20:45:01.580382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 200
18.1%
2 169
15.3%
3 159
14.4%
0 146
13.2%
7 87
7.9%
4 68
 
6.2%
5 63
 
5.7%
6 59
 
5.4%
1 54
 
4.9%
9 51
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 902
81.9%
Dash Punctuation 200
 
18.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 169
18.7%
3 159
17.6%
0 146
16.2%
7 87
9.6%
4 68
7.5%
5 63
 
7.0%
6 59
 
6.5%
1 54
 
6.0%
9 51
 
5.7%
8 46
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 200
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1102
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 200
18.1%
2 169
15.3%
3 159
14.4%
0 146
13.2%
7 87
7.9%
4 68
 
6.2%
5 63
 
5.7%
6 59
 
5.4%
1 54
 
4.9%
9 51
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1102
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 200
18.1%
2 169
15.3%
3 159
14.4%
0 146
13.2%
7 87
7.9%
4 68
 
6.2%
5 63
 
5.7%
6 59
 
5.4%
1 54
 
4.9%
9 51
 
4.6%

보육시설홈페이지주소
Text

MISSING 

Distinct60
Distinct (%)98.4%
Missing39
Missing (%)39.0%
Memory size932.0 B
2023-12-10T20:45:01.958108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length31
Mean length24.081967
Min length7

Characters and Unicode

Total characters1469
Distinct characters61
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)96.7%

Sample

1st rowhttps://xn--6n1b61jr3bixr.kr/
2nd rowhttp://www.baewha.ac.kr/mbs/child
3rd rowhttp://cafe.naver.com/ionekid
4th rowhttps://www.bomsaem.co.kr
5th rowhttp://www.smu-kindergarten.com
ValueCountFrequency (%)
http 3
 
4.7%
http://www.skd.kg.kr 1
 
1.6%
www.cyworld.com/2446700 1
 
1.6%
http://kindergarten.sewc.ac.kr 1
 
1.6%
http://shinilyu.co.kr 1
 
1.6%
http://yaksui.com 1
 
1.6%
http://cafe.naver.com/ynchild 1
 
1.6%
http://cafe.daum.net/ilshinkindergarten 1
 
1.6%
naree@5530 1
 
1.6%
http://hanil.kidsnote.ac 1
 
1.6%
Other values (52) 52
81.2%
2023-12-10T20:45:02.628637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 129
 
8.8%
. 129
 
8.8%
t 121
 
8.2%
h 84
 
5.7%
w 82
 
5.6%
e 76
 
5.2%
n 70
 
4.8%
k 65
 
4.4%
a 62
 
4.2%
o 60
 
4.1%
Other values (51) 591
40.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1092
74.3%
Other Punctuation 316
 
21.5%
Decimal Number 24
 
1.6%
Other Letter 22
 
1.5%
Dash Punctuation 6
 
0.4%
Uppercase Letter 5
 
0.3%
Space Separator 4
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 121
 
11.1%
h 84
 
7.7%
w 82
 
7.5%
e 76
 
7.0%
n 70
 
6.4%
k 65
 
6.0%
a 62
 
5.7%
o 60
 
5.5%
r 59
 
5.4%
p 57
 
5.2%
Other values (14) 356
32.6%
Other Letter
ValueCountFrequency (%)
원 2
 
9.1%
콩 2
 
9.1%
치 2
 
9.1%
유 2
 
9.1%
충 1
 
4.5%
암 1
 
4.5%
수 1
 
4.5%
서 1
 
4.5%
집 1
 
4.5%
이 1
 
4.5%
Other values (8) 8
36.4%
Decimal Number
ValueCountFrequency (%)
6 6
25.0%
5 4
16.7%
4 4
16.7%
0 3
12.5%
3 2
 
8.3%
1 2
 
8.3%
9 1
 
4.2%
7 1
 
4.2%
2 1
 
4.2%
Other Punctuation
ValueCountFrequency (%)
/ 129
40.8%
. 129
40.8%
: 53
16.8%
@ 5
 
1.6%
Uppercase Letter
ValueCountFrequency (%)
E 2
40.0%
R 1
20.0%
A 1
20.0%
N 1
20.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1097
74.7%
Common 350
 
23.8%
Hangul 22
 
1.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 121
 
11.0%
h 84
 
7.7%
w 82
 
7.5%
e 76
 
6.9%
n 70
 
6.4%
k 65
 
5.9%
a 62
 
5.7%
o 60
 
5.5%
r 59
 
5.4%
p 57
 
5.2%
Other values (18) 361
32.9%
Hangul
ValueCountFrequency (%)
원 2
 
9.1%
콩 2
 
9.1%
치 2
 
9.1%
유 2
 
9.1%
충 1
 
4.5%
암 1
 
4.5%
수 1
 
4.5%
서 1
 
4.5%
집 1
 
4.5%
이 1
 
4.5%
Other values (8) 8
36.4%
Common
ValueCountFrequency (%)
/ 129
36.9%
. 129
36.9%
: 53
15.1%
- 6
 
1.7%
6 6
 
1.7%
@ 5
 
1.4%
5 4
 
1.1%
4 4
 
1.1%
4
 
1.1%
0 3
 
0.9%
Other values (5) 7
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1447
98.5%
Hangul 22
 
1.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 129
 
8.9%
. 129
 
8.9%
t 121
 
8.4%
h 84
 
5.8%
w 82
 
5.7%
e 76
 
5.3%
n 70
 
4.8%
k 65
 
4.5%
a 62
 
4.3%
o 60
 
4.1%
Other values (33) 569
39.3%
Hangul
ValueCountFrequency (%)
원 2
 
9.1%
콩 2
 
9.1%
치 2
 
9.1%
유 2
 
9.1%
충 1
 
4.5%
암 1
 
4.5%
수 1
 
4.5%
서 1
 
4.5%
집 1
 
4.5%
이 1
 
4.5%
Other values (8) 8
36.4%

총인구수
Real number (ℝ)

HIGH CORRELATION 

Distinct41
Distinct (%)41.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30208.18
Minimum1871
Maximum75726
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:45:02.878096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1871
5-th percentile5490.6
Q115498.25
median21991.5
Q348491
95-th percentile75726
Maximum75726
Range73855
Interquartile range (IQR)32992.75

Descriptive statistics

Standard deviation19694.948
Coefficient of variation (CV)0.65197402
Kurtosis-0.18259983
Mean30208.18
Median Absolute Deviation (MAD)13442.5
Skewness0.75148112
Sum3020818
Variance3.87891 × 108
MonotonicityNot monotonic
2023-12-10T20:45:03.118181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
48690 11
 
11.0%
35958 10
 
10.0%
48491 9
 
9.0%
75726 7
 
7.0%
20894 6
 
6.0%
20143 5
 
5.0%
17270 4
 
4.0%
35013 4
 
4.0%
21433 3
 
3.0%
11874 3
 
3.0%
Other values (31) 38
38.0%
ValueCountFrequency (%)
1871 1
1.0%
2184 1
1.0%
2476 1
1.0%
4243 1
1.0%
4761 1
1.0%
5529 1
1.0%
6823 1
1.0%
7881 1
1.0%
7910 2
2.0%
8194 1
1.0%
ValueCountFrequency (%)
75726 7
7.0%
62008 2
 
2.0%
48690 11
11.0%
48491 9
9.0%
35958 10
10.0%
35013 4
 
4.0%
29995 2
 
2.0%
28287 1
 
1.0%
25682 1
 
1.0%
22715 1
 
1.0%

10미만인구수
Real number (ℝ)

HIGH CORRELATION 

Distinct40
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2206.71
Minimum47
Maximum4428
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:45:03.344984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum47
5-th percentile201.15
Q1794
median2113
Q33626
95-th percentile4428
Maximum4428
Range4381
Interquartile range (IQR)2832

Descriptive statistics

Standard deviation1436.8434
Coefficient of variation (CV)0.65112472
Kurtosis-1.3493538
Mean2206.71
Median Absolute Deviation (MAD)1343
Skewness0.16460929
Sum220671
Variance2064519
MonotonicityNot monotonic
2023-12-10T20:45:03.549494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
4428 11
 
11.0%
2609 10
 
10.0%
3626 9
 
9.0%
4116 7
 
7.0%
2113 6
 
6.0%
2161 5
 
5.0%
3370 4
 
4.0%
1491 4
 
4.0%
663 4
 
4.0%
794 3
 
3.0%
Other values (30) 37
37.0%
ValueCountFrequency (%)
47 1
1.0%
84 1
1.0%
113 1
1.0%
182 1
1.0%
185 1
1.0%
202 1
1.0%
223 1
1.0%
294 2
2.0%
327 1
1.0%
376 1
1.0%
ValueCountFrequency (%)
4428 11
11.0%
4116 7
7.0%
3626 9
9.0%
3572 2
 
2.0%
3370 4
 
4.0%
2609 10
10.0%
2600 1
 
1.0%
2161 5
5.0%
2113 6
6.0%
1798 2
 
2.0%

세대수
Real number (ℝ)

HIGH CORRELATION 

Distinct41
Distinct (%)41.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12501.47
Minimum969
Maximum33423
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:45:03.756858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum969
5-th percentile2803.25
Q16317
median10265
Q318563
95-th percentile33423
Maximum33423
Range32454
Interquartile range (IQR)12246

Descriptive statistics

Standard deviation8450.6862
Coefficient of variation (CV)0.6759754
Kurtosis0.47147143
Mean12501.47
Median Absolute Deviation (MAD)5020
Skewness0.99564286
Sum1250147
Variance71414097
MonotonicityNot monotonic
2023-12-10T20:45:03.991727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
18563 11
 
11.0%
14622 10
 
10.0%
20402 9
 
9.0%
33423 7
 
7.0%
7845 6
 
6.0%
7455 5
 
5.0%
7160 4
 
4.0%
12597 4
 
4.0%
10402 3
 
3.0%
4715 3
 
3.0%
Other values (31) 38
38.0%
ValueCountFrequency (%)
969 1
1.0%
1101 1
1.0%
1203 1
1.0%
1782 1
1.0%
2200 1
1.0%
2835 1
1.0%
2899 1
1.0%
3123 1
1.0%
3503 2
2.0%
3901 2
2.0%
ValueCountFrequency (%)
33423 7
7.0%
28191 2
 
2.0%
20402 9
9.0%
18563 11
11.0%
14622 10
10.0%
13461 2
 
2.0%
12929 1
 
1.0%
12597 4
 
4.0%
10402 3
 
3.0%
10333 1
 
1.0%

공간정보
Text

Distinct99
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T20:45:04.389209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length50
Mean length50
Min length50

Characters and Unicode

Total characters5000
Distinct characters16
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique98 ?
Unique (%)98.0%

Sample

1st row01010000203B1400002EBF22510F112D41FE487F84BDCC3D41
2nd row0101000020E6100000036DC6D927EE5F407D8EC43650ED4240
3rd row01010000203B1400009E7BC86307152D41F29BED93CCCE3D41
4th row0101000020E6100000960C5B0E4FEE5F40F6A7BF24B6F44240
5th row01010000203B140000C7F2A99716302D418F99C63A16CC3D41
ValueCountFrequency (%)
0101000020e6100000e9a683ab72f05f4058b5bd403def4240 2
 
2.0%
01010000203b140000eb0165f318132d41ab29bcebe7c03d41 1
 
1.0%
01010000203b140000efc6ce42cc0a2d417f8dfaf7e3bb3d41 1
 
1.0%
0101000020e61000009eec5e1e86ef5f407be5983127ed4240 1
 
1.0%
01010000203b140000e238e13aa7132d41f7c9479abbbb3d41 1
 
1.0%
0101000020e610000047c896265cf05f40e7b81db638f14240 1
 
1.0%
01010000203b140000f25c21366a1c2d41c83cb800d9c23d41 1
 
1.0%
0101000020e61000005bc3938142ef5f40f752695445ed4240 1
 
1.0%
01010000203b140000c70549b9270e2d412ede0e9f26bd3d41 1
 
1.0%
0101000020e61000009f573cf548f05f40833395d18aef4240 1
 
1.0%
Other values (89) 89
89.0%
2023-12-10T20:45:05.013860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1406
28.1%
1 541
 
10.8%
4 426
 
8.5%
2 354
 
7.1%
E 261
 
5.2%
3 258
 
5.2%
D 246
 
4.9%
F 242
 
4.8%
5 212
 
4.2%
B 205
 
4.1%
Other values (6) 849
17.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3757
75.1%
Uppercase Letter 1243
 
24.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1406
37.4%
1 541
 
14.4%
4 426
 
11.3%
2 354
 
9.4%
3 258
 
6.9%
5 212
 
5.6%
6 178
 
4.7%
9 139
 
3.7%
8 123
 
3.3%
7 120
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
E 261
21.0%
D 246
19.8%
F 242
19.5%
B 205
16.5%
C 169
13.6%
A 120
9.7%

Most occurring scripts

ValueCountFrequency (%)
Common 3757
75.1%
Latin 1243
 
24.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1406
37.4%
1 541
 
14.4%
4 426
 
11.3%
2 354
 
9.4%
3 258
 
6.9%
5 212
 
5.6%
6 178
 
4.7%
9 139
 
3.7%
8 123
 
3.3%
7 120
 
3.2%
Latin
ValueCountFrequency (%)
E 261
21.0%
D 246
19.8%
F 242
19.5%
B 205
16.5%
C 169
13.6%
A 120
9.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1406
28.1%
1 541
 
10.8%
4 426
 
8.5%
2 354
 
7.1%
E 261
 
5.2%
3 258
 
5.2%
D 246
 
4.9%
F 242
 
4.8%
5 212
 
4.2%
B 205
 
4.1%
Other values (6) 849
17.0%

Interactions

2023-12-10T20:44:53.839654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:44:51.044704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:44:51.682159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:44:52.443943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:44:53.185595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:44:53.993934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:44:51.170322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:44:51.804091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:44:52.592663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:44:53.305134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:44:54.240047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:44:51.312389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:44:51.971653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:44:52.754784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:44:53.452374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:44:54.429700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:44:51.451257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:44:52.126683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:44:52.892764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:44:53.587215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:44:54.561405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:44:51.561408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:44:52.280811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:44:53.031311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:44:53.700477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T20:45:05.222224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
보육시설번호학제명시도명행정구역명학교명설립주체구분명보육시설우편번호보육시설도로명주소보육시설연락처번호보육시설팩스번호보육시설홈페이지주소총인구수10미만인구수세대수공간정보
보육시설번호1.0000.0000.0000.8371.0000.5250.0001.0001.0000.7660.8670.3950.4190.3440.940
학제명0.0001.0000.9991.0001.0000.5631.0001.0001.0001.0001.0000.9040.7540.9071.000
시도명0.0000.9991.0001.0001.0000.5631.0001.0001.0001.0001.0000.9040.7540.9071.000
행정구역명0.8371.0001.0001.0001.0000.3100.7071.0001.0001.0000.9040.7860.8000.7211.000
학교명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
설립주체구분명0.5250.5630.5630.3101.0001.0000.2501.0001.0001.0001.0000.3440.2470.2431.000
보육시설우편번호0.0001.0001.0000.7071.0000.2501.0001.0001.0000.5571.0000.6380.8090.6361.000
보육시설도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
보육시설연락처번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
보육시설팩스번호0.7661.0001.0001.0001.0001.0000.5571.0001.0001.0001.0000.9840.9200.9810.997
보육시설홈페이지주소0.8671.0001.0000.9041.0001.0001.0001.0001.0001.0001.0000.9700.9651.0001.000
총인구수0.3950.9040.9040.7861.0000.3440.6381.0001.0000.9840.9701.0000.8730.9921.000
10미만인구수0.4190.7540.7540.8001.0000.2470.8091.0001.0000.9200.9650.8731.0000.8731.000
세대수0.3440.9070.9070.7211.0000.2430.6361.0001.0000.9811.0000.9920.8731.0001.000
공간정보0.9401.0001.0001.0001.0001.0001.0001.0001.0000.9971.0001.0001.0001.0001.000
2023-12-10T20:45:05.501693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설립주체구분명행정구역명시도명학제명
설립주체구분명1.0000.3720.3810.381
행정구역명0.3721.0000.9850.985
시도명0.3810.9851.0000.980
학제명0.3810.9850.9801.000
2023-12-10T20:45:05.692131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
보육시설번호보육시설우편번호총인구수10미만인구수세대수학제명시도명행정구역명설립주체구분명
보육시설번호1.0000.1480.1250.1590.1340.0000.0000.4850.387
보육시설우편번호0.1481.0000.5190.6260.4820.9950.9950.6850.397
총인구수0.1250.5191.0000.9310.9810.7120.7120.6250.249
10미만인구수0.1590.6260.9311.0000.8860.7430.7430.6120.236
세대수0.1340.4820.9810.8861.0000.6940.6940.5350.177
학제명0.0000.9950.7120.7430.6941.0000.9800.9850.381
시도명0.0000.9950.7120.7430.6940.9801.0000.9850.381
행정구역명0.4850.6850.6250.6120.5350.9850.9851.0000.372
설립주체구분명0.3870.3970.2490.2360.1770.3810.3810.3721.000

Missing values

2023-12-10T20:44:54.748592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T20:44:55.071498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

보육시설번호학제명시도명행정구역명학교명설립주체구분명보육시설우편번호보육시설도로명주소보육시설연락처번호보육시설팩스번호보육시설홈페이지주소총인구수10미만인구수세대수공간정보
01유치원서울종로구린덴바움유치원사립3025서울특별시 종로구 통일로12길 51 . 린덴바움유치원 (무악동)02-730-620702-730-6208https://xn--6n1b61jr3bixr.kr/8194688289901010000203B1400002EBF22510F112D41FE487F84BDCC3D41
11어린이집강원도춘천시이루숲어린이집사립24455강원도 춘천시 백석골길22번길 21-21 이루숲어린이집(퇴계동)033-243-8833--<NA>486904428185630101000020E6100000036DC6D927EE5F407D8EC43650ED4240
22유치원서울종로구배화여자대학교 부속 배화유치원사립3039서울특별시 종로구 필운대로1길 34 (필운동)02-737-143302-737-1434http://www.baewha.ac.kr/mbs/child11874794471501010000203B1400009E7BC86307152D41F29BED93CCCE3D41
32어린이집강원도춘천시리틀빌리지어린이집사립24224강원도 춘천시 영서로 2920 현대아파트 관리동 2층033-252-8513033-252-8514http://cafe.naver.com/ionekid20894211378450101000020E6100000960C5B0E4FEE5F40F6A7BF24B6F44240
43유치원서울종로구봄샘유치원사립3124서울특별시 종로구 율곡로 264 (종로6가)02-764-321002-762-7396https://www.bomsaem.co.kr5529113283501010000203B140000C7F2A99716302D418F99C63A16CC3D41
53어린이집강원도춘천시하은어린이집사립24417강원도 춘천시 안마산로 310 1층 (석사동)033-252-8476033-252-8476<NA>359582609146220101000020E61000002D205965CBEF5F40BF2E60557FEC4240
64유치원서울종로구상명사대부속유치원사립3015서울특별시 종로구 홍지문2길 1 (홍지동)02-396-160202-394-6577http://www.smu-kindergarten.com9867520390101010000203B1400009CAF4DA6A30D2D41620D838902D83D41
74어린이집강원도춘천시꿈초롱어린이집사립24284강원도 춘천시 부평길 7 한신아파트 4동 105호(후평동 864)033-256-0879033-255-0879http://echorong.com/484913626204020101000020E6100000CD66C4BB12F05F40DACA2AF0BEEF4240
85유치원서울종로구서울명신초등학교병설유치원공립3093서울특별시 종로구 낙산길 250 (창신동. 서울명신초등학교)02-744-463302-741-5531http://myungshin.es.kr/22195790957301010000203B1400005888CF250D352D41F2F8016B72CF3D41
95어린이집강원도춘천시패트와매트어린이집사립24447강원도 춘천시 영서로 2169 103동101호 (퇴계동, 퇴계이안아파트)070-8688-8616--<NA>486904428185630101000020E6100000DC589AA52EEF5F4021BAF30610ED4240
보육시설번호학제명시도명행정구역명학교명설립주체구분명보육시설우편번호보육시설도로명주소보육시설연락처번호보육시설팩스번호보육시설홈페이지주소총인구수10미만인구수세대수공간정보
9046유치원서울성동구금호유치원사립4729서울특별시 성동구 금호산2길 35 (금호동3가. 금호교회)02-2252-317902-2253-1497http://www.keumhokids.co.kr227151741929601010000203B14000019A4CC91B83B2D4101F5F8D652C13D41
9146어린이집강원도춘천시이솝어린이집사립24454강원도 춘천시 행촌로 11 109동 104호(퇴계동, 한성아파트)033-256-2300033-256-2300<NA>486904428185630101000020E610000095E35F1539EE5F404E56F3B9E6ED4240
9247유치원서울성동구로사유치원사립4774서울특별시 성동구 성덕정길 23 (성수동1가)02-497-254702-497-2548http:// cafe.naver.com / rosakdg2999517981346101010000203B140000D78C41995E4B2D41870E4BA14DBD3D41
9347어린이집강원도춘천시오색나라어린이집사립200170강원 춘천시 퇴계동 882-8033-253-2282033-253-2282bobos66@hanmail.net4869044281856301010000203B140000938003557D1E2F412197F69553483E41
9448유치원서울성동구미타유치원사립4739서울특별시 성동구 독서당로40길 21 . 미타유치원 (옥수동)02-2297-798202-2297-7905http://www.mitakids.net2568226001019701010000203B1400003314174272372D41280C3C6FF4BE3D41
9548어린이집강원도춘천시그림나라어린이집사립24375강원도 춘천시 남춘천새길 11 102-101(퇴계동, 휴먼시아남춘천1단지아파트)033-262-3373033-262-3373<NA>486904428185630101000020E61000004368F8BFF1EE5F406FC7A45D32EE4240
9649유치원서울성동구서울경동유치원공립4781서울특별시 성동구 성수일로 34 (성수동1가.경동초등학교)02-461-033702-461-1676http://www.skd.kg.kr2999517981346101010000203B1400002B4268F5E04D2D41598CA860BFBE3D41
9749어린이집강원도춘천시핑구어린이집사립24399강원도 춘천시 동내면 동내로 200033-262-6452033-262-6452http://pingu.mypepe.com/17270149171600101000020E6100000784DA3247FF15F4094549E27BBEC4240
9850유치원서울성동구서울경수초등학교병설유치원공립4785서울특별시 성동구 뚝섬로13길 22 . 경수초등학교 병설유치원 (성수동2가)02-465-954702-465-9548http://www.kyeongsu.es.kr2828714171292901010000203B1400003865B5FC75532D41BF4AAC31C0BD3D41
9950어린이집강원도춘천시예슬어린이집사립24358강원도 춘천시 약사길 18 (약사동)033-251-7447033-255-7447<NA>2184849690101000020E6100000A54522D948EE5F408BC1C3B4EFEF4240